What are the responsibilities and job description for the Junior Data Engineer position at LMI Consulting, LLC?
| Job ID | 2022-8832 | # of Openings | 3 | Category | Data/Analytics |
LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers' unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.
LMI has been named a 2022 #TopWorkplace in the United States by Top Workplaces!
We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible!
LMI is seeking a Junior Data Engineer to support a Special Operations customer in Tampa, FL.
*This position is on-site at MacDill Air Force Base in Tampa, FL.
Responsibilities may include:
- Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and/or big data infrastructure. Create and maintain optimal data pipeline architecture.
- Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
- Configure and manage data analytic frameworks and pipelines using databases and tools in NoSQL and SQL
- Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
- Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
- Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs
QUALIFICATIONS:
- Candidates must have an active clearance with the ability to obtain a Top Secret Clearance in a timely manner is required. TS/SCI clearance is preferred.
- Bachelors degree in Computer Science, Software Engineering, Data Science, Statistics, Applied Math, or related STEM field is required. Master's Degree is preferred.
- Minimum of 1-year experience is required
- Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and NoSQL engines.
- Proficient in modeling frameworks like Universal Modeling Language (UML)
- Proficient in Agile Development and Git Operations
- Proficient with at least one programming language (Java, C , Python, R, etc.)
- Outstanding communication skills, written and verbal
- Highly organized and able to manage multiple projects simultaneously
- Team-player mentality with a positive attitude
- Keen attention to detail and solid analytical skills
- Able to articulate complex, abstract concepts concisely and effectively
Languages, Tools, and Techniques
- Demonstrated proficiency with Python and SQL to manipulate data and draw insights from large data sets.
- Demonstrated proficiency in a variety of supervised and unsupervised machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Demonstrated proficiency in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Demonstrated proficiency with common data science libraries.
- Demonstrated proficiency visualizing/presenting data for stakeholders.
- Capability to recognize when Data Engineering can add value to an intelligence problem, and when it cannot.
#LI-SH1
LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, age, national origin, disability, veteran status, or any other factors protected by applicable law. We welcome applications for employment from qualified disabled veterans, veterans of the Vietnam era, and other covered veterans.
